• Saneeya Maghrabi
• Dr Vilas Kamble

Online informal communities like twitter have a huge load of information. Nonetheless, consistently people don't give individual information, similar to age, sexual direction and other section data, yet the conviction examination uses such information to cultivate important applications in people's everyday schedules. Notwithstanding, there is at this point a mistake in this sort of examination, whether or not by the foreordained number of words contained in the word reference or in light of the fact that they don't consider the most different limits Can affect feelings in sentences; Therefore, more strong results will be gotten on the off chance that considering customer profile data and customer creating style. This investigation shows that perhaps the main boundary contained in the customer profile is the age pack, which shows that there is customary lead among customers of as old as, especially when these customers clarify. With a comparable topic Detailed assessment with 7000 sentences has been coordinated to sort out which components are critical, similar to the usage of emphasis, number of characters, sharing of media, various subjects, and which ones can ignore the age pack gathering. Various learning machine estimations have been pursued for the portrayal of adolescent and grown-up social events and the Word2Vec has the best show with precision up to 0.95 in the endorsement test. should additionally, to affirm the handiness of the proposed model for age bundle portrayal, it is executed in the Sentiment Metric (eSM) that has been improved.

word2vec, deep learning

"Categorizing Posts Age wise Using Bayesian Classification Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.e392-e402, December-2021, Available :http://www.jetir.org/papers/JETIR2112450.pdf

"Categorizing Posts Age wise Using Bayesian Classification Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppe392-e402, December-2021, Available at : http://www.jetir.org/papers/JETIR2112450.pdf